AI Tools to Synthesize Characteristics of Public Spaces: A case study for Jersey City

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates how artificial intelligence (AI) tools can be used in the early design phase of public space to synthesize qualitative information such as cultural differences and individual perception into a common understanding of qualities of a public space. In that way AI tools can be used to synthesize emotional responses citizens may have to urban spaces as a form of feedback during the design process. To do that the investigation leverages AI tools' text-guided image-to-image translation techniques, their capacity to assess the association between images and texts and the premise for synthesizing a common understanding of characteristics and qualities of public spaces.

Original languageEnglish (US)
Title of host publicationeCAADe 2023 - Digital Design Reconsidered
EditorsWolfgang Dokonal, Urs Hirschberg, Gabriel Wurzer, Gabriel Wurzer
PublisherEducation and research in Computer Aided Architectural Design in Europe
Pages831-838
Number of pages8
ISBN (Print)9789491207341
DOIs
StatePublished - 2023
Event41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023 - Graz, Austria
Duration: Sep 20 2023Sep 22 2023

Publication series

NameProceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
Volume1
ISSN (Print)2684-1843

Conference

Conference41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023
Country/TerritoryAustria
CityGraz
Period9/20/239/22/23

All Science Journal Classification (ASJC) codes

  • Architecture
  • Education
  • Computer Graphics and Computer-Aided Design

Keywords

  • AI Tools
  • Stable Diffusion
  • Urban Public Space

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